Proficiency Level 1
Highlights the concepts behind network modeling and predictive analysis.
Describes different modeling, mapping and predictive tools and their purpose.
Ability to gather data for analysis and basic operation of tools.
Cites examples of network modeling and analysis tools and software currently in use.
Proficiency Level 2
Utilizes available tools to compile and run analysis and simulations.
Reviews and interprets basic modeling and analysis reports; derives conclusions.
Creates and interprets maps, charts and other graphics to clearly present data sets.
Assesses the quality, relevance and reliability of data used as input to a given model.
Explains how to use the modeling process to solve network performance problems.
Proficiency Level 3
Demonstrates experience with modeling and analyzing multiple and varied networks.
Shares experiences analyzing and drawing conclusions from results of the modeling process.
Recognizes various modeling techniques and determines the most appropriate for a given situation.
Exhibits complete understanding of algorithms and computations used by tools.
Evaluates new products, processes and modeling approaches and tools.
Effectively communicates findings and conclusions from complex models to a wide range of audiences.
Proficiency Level 4
Subject Matter Expert
Demonstrates expertise in applying varied modeling processes to diverse and complex networks.
Compares and contrasts different models and approaches (e.g. Hata- Okumara vs. COST-231).
Consults on the selection of appropriate models for complex and unusual networks.
Selects new products and develops best practices for modeling and predictive analysis.
Monitors industry experiences, trends and standards; assesses implications for the organization.
Works with vendors to develop product requirements and roadmap.